DUCKQUANT / THE QUANT & AI DIRECTORY

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14,444 resources, ranked by in-directory PageRank

Showing 9,721–9,756 of 14,444 resources

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Repository

indian equity research desk

github.com

Indian-equity research application combining market-data providers, structured company analysis, and optional LLM commentary.

GitHub stars
0
Language
Python
data-integrationfastapifinancial-data
38 Authority 38 / 100 Cited by 0 resources in this directory Directory record updated: 2026-10-11 How scoring works →
Screenshot review pendingResource information and source links remain available.
Repository

bitcoin price prediction

github.com

This project demonstrates how to build a Linear Regression model to predict Bitcoin prices using historical market data.

GitHub stars
4
Language
Jupyter Notebook
Code license
Unlicense
linear-regressionmachine-learningmachine-learning-algorithms
38 Authority 38 / 100 Cited by 0 resources in this directory Directory record updated: 2026-10-11 How scoring works →
Screenshot review pendingResource information and source links remain available.
Repository

binance public data downloader

github.com

Interactive Bash script to download historical market data from Binance. Supports spot, futures, and options across 20+ data types with parallel downloads, caching, and…

GitHub stars
5
Language
Shell
binancebinance-apicrypto
38 Authority 38 / 100 Cited by 0 resources in this directory Directory record updated: 2026-10-11 How scoring works →
Screenshot review pendingResource information and source links remain available.
Repository

binance historical data

github.com

A simple React App that generates Binance historical market data into a .csv file. Select request specifications and file download will start.

GitHub stars
7
Language
TypeScript
binancebinance-apimarket-data
38 Authority 38 / 100 Cited by 0 resources in this directory Directory record updated: 2026-10-11 How scoring works →
Screenshot review pendingResource information and source links remain available.
Repository

backtesting

github.com

A simple backtesting engine for trading strategies in Python, allowing for simulated trades based on historical market data with functionality for trading logic, calculating…

GitHub stars
6
Language
Python
algorithmic-tradingbacktestingfinancial-analysis
38 Authority 38 / 100 Cited by 0 resources in this directory Directory record updated: 2026-10-11 How scoring works →
Screenshot review pendingResource information and source links remain available.
Repository

backtest virtuoso

github.com

Virtuoso is a Python-based backtesting tool designed for traders and quantitative analysts who want to evaluate scalping and intraday trading strategies using historical market…

GitHub stars
8
Language
Python
algorithmbacktestbot
38 Authority 38 / 100 Cited by 0 resources in this directory Directory record updated: 2026-10-11 How scoring works →
Screenshot review pendingResource information and source links remain available.
Repository

quant trading strategy backtester

github.com

A quantitative trading strategy backtester with an interactive dashboard. Enables users to implement, test, and visualise trading strategies using historical market data, featuring customisable…

GitHub stars
43
Language
Python
backtesterbacktestingmean-reversion
38 Authority 38 / 100 Cited by 0 resources in this directory Directory record updated: 2026-10-11 How scoring works →
Screenshot review pendingResource information and source links remain available.
Repository

fiap ml b3 analytics pipeline

github.com

Serverless analytics pipeline for Brazilian stock market (B3) data using yfinance, AWS Lambda, S3, Glue, and Athena. Extracts historical market data, transforms it into…

GitHub stars
4
Language
Python
Code license
MIT
38 Authority 38 / 100 Cited by 0 resources in this directory Directory record updated: 2026-10-11 How scoring works →
Screenshot review pendingResource information and source links remain available.
Repository

Neural Network Stock Price Forecasting

github.com

This repository showcases the implementation of a Neural Network for stock price forecasting using historical market data. Dive into the world of deep learning…

GitHub stars
5
Language
Jupyter Notebook
aifinancemachine-learning
38 Authority 38 / 100 Cited by 0 resources in this directory Directory record updated: 2026-10-11 How scoring works →

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